Panic Companion is a mobile application tailored to help individuals detect, track, and manage panic attacks effectively. By leveraging cutting-edge technology and evidence-based approaches, the app provides users with tools to better understand and address their mental health needs.
Key features of Panic Companion include:
- Integration with wearables: Seamlessly connect your device to monitor heart rate variability (HRV) and other physiological signals, detecting early signs of panic.
- Data analysis with AI: Advanced Large Language Models (LLMs) analyze collected data to identify patterns and provide actionable insights.
- Personalized coping strategies: The app offers a range of interventions, including guided breathing exercises and grounding techniques, tailored to your specific needs.
- Attack tracking and trend analysis: Keep a detailed record of panic attacks to uncover potential triggers and trends, enabling informed adjustments to your lifestyle or treatment plan.
- Collaborative insights: Share your data with therapists or healthcare providers to enhance therapeutic outcomes and foster a deeper understanding of your experiences.
Panic Companion empowers users to take charge of their mental health through proactive detection, personalized interventions, and actionable insights, offering support whenever and wherever it’s needed.
A project at the St. Pölten University of Applied Sciences
Master Program Digitale Healthcare
Project Coach: Dr. rer. nat. Vanessa Yue Fei Leung
